Summary: Part 3 of the miniseries on Deep Learning, politicians and other approaches to intelligence (or not)
Series: Linux Inlaws
Source: http://hackerpublicradio.org/eps.php?id=3359
Original audio: http://archive.org/download/hpr3359/hpr3359_source.mp3

In part three of the 27.64 episodes long mini-series on artificial intelligences, machine and deep learning and other hipster topics around machines trying to imitate humans (marketing made us do these :-), our two heroes discuss domain-specific frameworks on top of (more generic) infrastructure like TensorFlow or PyTorch. As usual, all will be revealed and no details be spared (apart from a very few) including how to tell animals apart from humans (a tricky feat as any journalist can tell you who's ever faced a stampeding horde of angry politicians!).

Links:

• Keras: https://keras.io
• Image recognition in Keras: https://keras.io/examples/vision/image_classification_from_scratch
• Facial recognition using convolutional neural networks (CNN): https://www.sitepoint.com/keras-face-detection-recognition
• PETA: https://www.peta.org
• User recognition based on mouse movements and deep learning: http://www.acta.sapientia.ro/acta-info/C12-1/info12-1-3.pdf
• Comparison of deep learning software: https://en.wikipedia.org/wiki/Comparison_of_deep-learning_software
• Apache's mxnet: https://mxnet.apache.org/versions/1.8.0
• Classification with deep belief networks: https://www.ki.tu-berlin.de/fileadmin/fg135/publikationen/Hebbo_2013_CDB.pdf
• scikit-learn: https://scikit-learn.org/stable
• Life on Mars: http://www.bbc.co.uk/lifeonmars/index_non_flash.shtml
• Limitless: https://www.imdb.com/title/tt1219289/?ref_=fn_al_tt_1

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